Thinklytics

Healthcare Analytics Consulting

Healthcare data analytics consulting for health systems and hospitals. We fix clinical data governance, EMR metric reconciliation, and AI readiness.

Topics

  • healthcare data analytics consulting
  • clinical data governance
  • EMR analytics
  • HIPAA data consulting
  • healthcare AI readiness
  • population health analytics
  • healthcare BI consulting

Work delivered in this industry

Kaiser Permanente

We consolidated 14 regional patient encounter definitions into one standard in 11 weeks, cutting reconciliation labor costs by $2.1 million.

$2.1M Annual reconciliation labor eliminated.

Express Scripts

We recovered $4.8M a year in misrouted claims by lifting member match accuracy from 75 to 94 of every 100 records, restarting three stalled ML pilots.

$4.8M Annual claims recovery.

Ascension Health System

Migrated 140 Crystal Reports to Power BI in 20 weeks, cutting report time from 4 hours to 8 minutes and saving $1.1M per year in licensing costs.

$1.1M Annual licensing saved.

Community Health Network

We gave 340 clinical staff direct access to analytics, cutting ad-hoc report requests from 120 to 14 per week and saving $890K in analyst labor annually.

$890K Annual ad-hoc labor saved.

St. David's Medical Center

We improved patient data quality from 58 to 91 in 12 weeks, enabling a $3.2M population health management platform to move forward.

58 to 91 Data quality score.

BlueCross BlueShield Affiliate

Cut prior authorization review from 4.2 days to 6 hours, handling 18,000 more cases monthly without adding staff.

4.2 days to 6 hrs Average review time.

What clients in this industry usually arrive with

  • Reporting cannot be trusted, described as sales and finance numbers do not match or inconsistent KPI reporting. Resolved by Metric governance, data cleaning, master data management, data engineering.
  • Reporting takes too much work, described as automate monthly reporting or combine reports from multiple systems. Resolved by Executive reporting, integrations, ERP consolidation.
  • Employees waste time finding information, described as search internal company documents or find policies and procedures quickly. Resolved by Knowledge assistant, RAG, unstructured data platform.
  • Systems require manual handoffs, described as eliminate manual data entry between systems or automate approval workflows. Resolved by API integration, workflow automation, human review design.
  • AI projects are not delivering value, described as measure AI ROI or AI pilot not moving to production. Resolved by Strategy, readiness assessment, AI PMO, adoption.
  • AI is too risky to deploy, described as AI confidential data protection or control AI agent permissions. Resolved by Governance, AI security, agent identity, evaluation.

Other industries

Start with the 30-day Analytics Truth Audit.

Healthcare data work that holds up under scrutiny.

Why healthcare data projects stall.

What healthcare clients ask before they engage.

Often paired with healthcare engagements.

Ready to fix your clinical data layer?

False alerts per hour after ML model remediation, down from 2.1

We design all data architectures with HIPAA requirements built in from the start. This includes data minimization, access control frameworks, audit logging, and de-identification pipelines where required. We do not treat compliance as an afterthought.

Yes. We have worked with Epic and Cerner environments and understand the complexity of extracting, normalizing, and governing clinical data from these platforms. We build the semantic layer on top of your existing EMR rather than replacing it.

Most healthcare data foundation engagements run 10 to 16 weeks. We start with a 30-day Analytics Truth Audit that identifies the specific gaps in your data layer and produces a prioritized 90-day roadmap before any build work begins.

Do you work with regional health systems or only large networks?

We work with both. Our engagements range from large integrated delivery networks to regional hospitals and specialty practices. The data governance challenges are similar regardless of size; the scope of the engagement scales accordingly.

Healthcare data analytics consulting for health systems and hospitals. We fix clinical data governance, EMR metric reconciliation, and AI readiness.

Data and AI consulting for healthcare organizations. Clinical metrics, compliance, and BI.

Healthcare & Life Sciences We dive into healthcare and life sciences data to uncover insights that really matter. Our team cuts through the noise to find patterns that help hospitals run smoother, researchers make breakthroughs faster, and patients get better care. It’s all about turning complex data into simple, actionable steps.

We have worked inside Kaiser Permanente, Express Scripts, and regional health systems. We know the complexity of clinical data governance, HIPAA compliance, and the gap between what the EMR captures and what leadership needs to see.

Start with a 30-day Analytics Truth Audit. We identify exactly what is broken and give you a 90-day roadmap to fix it.